Publication Date:
2003-08-23
Description:
To elucidate gene function on a global scale, we identified pairs of genes that are coexpressed over 3182 DNA microarrays from humans, flies, worms, and yeast. We found 22,163 such coexpression relationships, each of which has been conserved across evolution. This conservation implies that the coexpression of these gene pairs confers a selective advantage and therefore that these genes are functionally related. Many of these relationships provide strong evidence for the involvement of new genes in core biological functions such as the cell cycle, secretion, and protein expression. We experimentally confirmed the predictions implied by some of these links and identified cell proliferation functions for several genes. By assembling these links into a gene-coexpression network, we found several components that were animal-specific as well as interrelationships between newly evolved and ancient modules.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stuart, Joshua M -- Segal, Eran -- Koller, Daphne -- Kim, Stuart K -- New York, N.Y. -- Science. 2003 Oct 10;302(5643):249-55. Epub 2003 Aug 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stanford Medical Informatics, 251 Campus Drive, Medical School Office Building X-215, Stanford, CA 94305-5329, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12934013" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Biological Evolution
;
Caenorhabditis elegans/genetics
;
Cell Cycle/genetics
;
Cell Division/genetics
;
Computational Biology
;
Conserved Sequence
;
Databases, Genetic
;
Drosophila melanogaster/genetics
;
*Gene Expression
;
Gene Expression Profiling
;
Gene Expression Regulation
;
Genes, Fungal
;
Genes, Helminth
;
Genes, Insect
;
Humans
;
Models, Statistical
;
Mutation
;
*Oligonucleotide Array Sequence Analysis
;
Proteins/metabolism
;
Saccharomyces cerevisiae/genetics
;
Signal Transduction/genetics
;
Species Specificity
;
Tumor Cells, Cultured
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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